Abstract: Speaker recognition is becoming an increasingly popular technology in today’s society. Besides being cost effective and producing a strong return on investment in all the defined business cases, speaker recognition lends itself well to a variety of uses and implementations. These implementations can range from corridor security to safer driving to increased productivity. By focusing on the technology and companies that drive voice recognition and identification systems, we can learn current implementations and predict future trends.
Keywords: Hidden Markov Model, Artificial Neural Network, Spectogram, Zero Cross Ratio.